Factors Affecting Children’s Learning Outcome from Family Tourism in Nakhon Ratchasima Province

This research aimed to identify key predictors of children's learning outcomes during travel experiences in Nakhon Ratchasima Province. Utilizing Social Cognitive Learning Theory (SCLT) as a theoretical framework, the study developed a random forest regression algorithm to analyze the complex relationships between various factors influencing children's learning during family tourism. The study employed a comprehensive survey of 921 families, collecting data on SCLT-related variables, travel characteristics, and demographic factors. The model consistently displayed high predictive performance (MSE values between 0.002 and 0.004) and explanatory power (R2 values between 0.994 and 0.995). According to a significant feature analysis, problem-solving abilities, time management, and cultural understanding are the most significant factors of children's learning outcomes. The research suggests that travel experiences, rather than family structure, have a greater influence on educational benefits than demographic factors. Tourism practitioners and policymakers can use this research to design more effective family-oriented travel experiences.